Tumor Immune Engineering: Developing In Vitro Assays to Understand the Tumor-Immune Crosstalk.

IF 3.2 3区 生物学 Q3 MATERIALS SCIENCE, BIOMATERIALS
Ranjani N Iyer, Maitreyee Vartak, Tuli Dey
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引用次数: 0

Abstract

Interaction between a growing tumor and the host immune system has various facets, which eventually influence the fate of both the tumor and the host. In the last decade, multiple efforts have been undertaken to mimic the heterogeneous consortium of tumors to comprehend tumor biology. Understanding the tumor-stromal or tumor-immune crosstalk is also crucial for screening and pre-clinical evaluation of therapeutic candidates. The development of human-relevant and physiologically similar models is the need of the hour to bridge the gap. Existing models relevant to tissue engineering, including porous scaffolds, hydrogel, and fibrous mats, are widely utilized to recapitulate the tumor microenvironment. In spite of their inherent limitations, they are employed to study tumor-immune interactions in the past. In the recent decade, emerging techniques such as Microfluidics, organ on a chip, and 3D Bioprinting have been used prevalently to mimic the heterogeneous landscape of tumors. This review is intended to discuss the current developments in the field of in vitro 3D tumor models while focusing on the tumor-immune crosstalk. Furthermore, the theoretical and practical limitations of the conventional model mimicking the tumorimmune crosstalk and the need for 'out of the box' ideas by converging the existing models are highlighted.

肿瘤免疫工程:开发了解肿瘤免疫串扰的体外试验。
生长中的肿瘤与宿主免疫系统之间的相互作用具有多个方面,最终影响肿瘤和宿主的命运。在过去的十年中,已经进行了多种努力来模拟肿瘤的异质性联盟,以了解肿瘤生物学。了解肿瘤-基质或肿瘤-免疫的串扰对候选治疗药物的筛选和临床前评估也至关重要。开发与人类相关的和生理上相似的模型是弥合这一差距的迫切需要。现有的与组织工程相关的模型,包括多孔支架、水凝胶和纤维垫,被广泛用于概括肿瘤微环境。尽管有其固有的局限性,但它们在过去被用于研究肿瘤免疫相互作用。近十年来,微流体、器官芯片和生物3D打印等新兴技术已被广泛用于模拟肿瘤的异质性景观。本文综述了体外三维肿瘤模型的研究进展,重点介绍了肿瘤免疫串扰。此外,还强调了模拟肿瘤免疫串扰的传统模型的理论和实践局限性,以及通过收敛现有模型来“开箱即用”的想法的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced biology
Advanced biology Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
6.60
自引率
0.00%
发文量
130
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